Maturity models are helpful business tools that refine and develop how organizations conduct their businesses and benchmark their maturity status against a scale or with industry peers. They serve to prioritize the actions for improvement better and control the progress in reaching the target maturity stage. To the best of our knowledge, very few survey papers are available on data management maturity models in academia, from which we studied their data and findings. In this context, our paper summarizes and organizes various researches related to or encompass the data management field. Consequently, this paper is of interest both for scientists as well as practitioners from different industries and fields as it aims to highlight the importance of maturity models in the field of data management. From an academic perspective, our survey delivers a thorough literature review as it investigates maturity models that are either for or related to data management.
Moreover, it offers a comparative analysis of the main concepts and features associated with these models through a developed metamodel. This proposed framework describes the functional coverage of data management maturity models where models can be compared and evaluated based on their approaches to identify and categorize the data management related functions. As a result, this metamodel can serve as a tool for researchers who can exploit this framework to position future maturity models.
Oumaima Belghith, Cyrine Zitoun, Syrine Ferjaoui, Sabri Skhiri, A Survey of Maturity Models in Data Management, Proc. of the 7th International Conference on Information Management and Industrial Engineering, 2021.
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